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Runtime error
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Update app.py
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app.py
CHANGED
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import requests
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import json
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import time
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import os
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#
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TTS_API_URL = "https://talkbot.ir/TTS-tkun"
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AI_API_URL = "https://talkbot.ir/api/v1/chat/completions"
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AI_API_KEY = "sk-4fb613f56acfccf731e801b904cd89f5"
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MODEL_NAME = "deepseek-v3-0324"
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try:
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# دریافت موضوع پادکست از فرم
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topic = request.form.get('topic')
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voice1 = request.form.get('voice1', 'male')
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voice2 = request.form.get('voice2', 'female')
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if not topic:
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return jsonify({'error': 'لطفا موضوع پادکست را وارد کنید'}), 400
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# تولید متون پادکست با هوش مصنوعی
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conversation = generate_conversation(topic)
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if not conversation or 'parts' not in conversation:
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return jsonify({'error': 'خطا در تولید محتوای پادکست'}), 500
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# تولید فایلهای صوتی
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audio_urls = []
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for i, part in enumerate(conversation['parts']):
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voice = voice1 if i % 2 == 0 else voice2
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audio_url = generate_tts(part['text'], voice)
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if audio_url:
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audio_urls.append({
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'text': part['text'],
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'speaker': "گوینده اول" if i % 2 == 0 else "گوینده دوم",
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'audio_url': audio_url
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})
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# ترکیب اطلاعات پادکست
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podcast_data = {
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'title': conversation.get('title', 'پادکست تولید شده'),
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'description': conversation.get('description', 'پادکست تولید شده با هوش مصنوعی'),
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'topic': topic,
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'parts': audio_urls
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}
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return jsonify(podcast_data)
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except Exception as e:
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print(f"Error: {str(e)}")
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return jsonify({'error': str(e)}), 500
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def generate_conversation(topic):
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headers = {
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}
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prompt = f"""
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یک مکالمه پادکستی جذاب درباره '{topic}' تولید کن.
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پادکست باید بین دو نفر با نامهای 'گوینده اول' و 'گوینده دوم' باشد.
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مکالمه باید حداکثر 6 تکه متن داشته باشد (مجموع حدود 500 کلمه).
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پاسخ را به فرمت JSON زیر برگردان:
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{{
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"title": "عنوان پادکست",
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"description": "توضیح کوتاه درباره پادکست",
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"parts": [
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{{
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"speaker": "گوینده اول یا دوم",
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"text": "متن گفته شده"
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}},
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// ...
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]
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}}
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"""
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data = {
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"model":
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"messages": [
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{"role": "system", "content": "
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{"role": "user", "content": prompt}
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],
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"temperature": 0.7
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}
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return
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'voice': voice
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}
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try:
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response = requests.get(
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else:
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if __name__ == '__main__':
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app.run(debug=True)
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import streamlit as st
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import requests
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import json
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import os
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import io
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import base64
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# --- Configuration ---
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TALKBOT_TTS_URL = "https://talkbot.ir/TTS-tkun"
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TALKBOT_CHAT_API_URL = "https://talkbot.ir/api/v1/chat/completions"
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DEEPSEEK_API_KEY = "sk-4fb61f56acfccf731e801b904c89f5" # Replace with your actual key if different
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DEEPSEEK_MODEL = "deepseek-v3-0324"
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# --- Functions ---
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def get_tts_audio_url(text: str) -> str:
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"""Gets a WAV audio URL from Talkbot TTS."""
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params = {"text": text}
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response = requests.get(TALKBOT_TTS_URL, params=params)
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response.raise_for_status() # Raise an exception for bad status codes
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return response.text.strip() # The response directly contains the URL
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def generate_podcast_script_deepseek(prompt: str) -> str:
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"""Generates a podcast script using DeepSeek API."""
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headers = {
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"Authorization": f"Bearer {DEEPSEEK_API_KEY}",
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"Content-Type": "application/json"
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}
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data = {
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"model": DEEPSEEK_MODEL,
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"messages": [
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{"role": "system", "content": "You are a helpful assistant for generating podcast scripts."},
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{"role": "user", "content": f"Generate a short podcast script on the following topic:\n\n{prompt}\n\nPlease include a clear introduction, 2-3 main points, and a conclusion. Divide the script into two distinct voices (Voice 1 and Voice 2). Label each part with 'Voice 1:' or 'Voice 2:'."}
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],
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"temperature": 0.7,
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"max_tokens": 500,
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"n": 1,
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"stop": None
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}
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try:
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response = requests.post(TALKBOT_CHAT_API_URL, headers=headers, data=json.dumps(data))
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response.raise_for_status() # Raise an exception for bad status codes
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result = response.json()
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if result and result.get("choices"):
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return result["choices"][0]["message"]["content"]
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else:
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st.error("DeepSeek API did not return valid choices.")
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return "Error: Could not generate script."
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except requests.exceptions.HTTPError as e:
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st.error(f"HTTP Error: {e.response.status_code} - {e.response.text}")
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return f"Error: Could not generate script (HTTP Error)."
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except requests.exceptions.RequestException as e:
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st.error(f"Request Error: {e}")
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return "Error: Could not generate script (Request Error)."
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except json.JSONDecodeError as e:
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st.error(f"JSON Decode Error: {e} - Response content: {response.text}")
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return "Error: Could not generate script (JSON Error)."
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def download_audio_from_url(url: str) -> bytes:
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"""Downloads audio content from a given URL."""
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try:
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response = requests.get(url)
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response.raise_for_status()
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return response.content
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except requests.exceptions.RequestException as e:
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st.error(f"Error downloading audio from {url}: {e}")
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return b""
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def create_audio_player_from_bytes(audio_bytes: bytes, key_suffix: str):
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"""Creates an audio player for bytes data."""
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if audio_bytes:
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# Encode bytes to base64 for embedding in HTML audio tag
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b64_audio = base64.b64encode(audio_bytes).decode("utf-8")
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st.markdown(
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f"""
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<audio controls key="{key_suffix}">
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<source src="data:audio/wav;base64,{b64_audio}" type="audio/wav">
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Your browser does not support the audio element.
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</audio>
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""",
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unsafe_allow_html=True,
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)
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else:
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st.warning("No audio data available to play.")
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# --- Streamlit UI ---
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st.set_page_config(page_title="Podcast Generator", layout="centered")
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st.title("🎙️ AI Podcast Generator")
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st.markdown("Generate and listen to your custom podcasts using AI!")
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# Input for podcast topic
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podcast_topic = st.text_input("Enter your podcast topic:", "The future of AI in daily life")
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if st.button("Generate Podcast"):
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if not podcast_topic:
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st.warning("Please enter a podcast topic.")
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else:
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st.subheader("Generating Podcast Script...")
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with st.spinner("AI is thinking... this might take a moment."):
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script = generate_podcast_script_deepseek(podcast_topic)
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st.session_state.script = script # Store script in session state
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if st.session_state.script and "Error" not in st.session_state.script:
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st.success("Script Generated!")
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st.subheader("Generated Podcast Script:")
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st.text_area("Script", st.session_state.script, height=300)
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st.markdown("---")
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st.subheader("Generating Audio for Voices...")
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# Split script into Voice 1 and Voice 2 parts
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voice_1_lines = []
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voice_2_lines = []
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current_voice = None
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for line in st.session_state.script.split('\n'):
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line_stripped = line.strip()
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if line_stripped.lower().startswith("voice 1:"):
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current_voice = 1
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voice_1_lines.append(line_stripped[len("voice 1:"):].strip())
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elif line_stripped.lower().startswith("voice 2:"):
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current_voice = 2
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voice_2_lines.append(line_stripped[len("voice 2:"):].strip())
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elif current_voice == 1:
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voice_1_lines.append(line_stripped)
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elif current_voice == 2:
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voice_2_lines.append(line_stripped)
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voice_1_text = " ".join(filter(None, voice_1_lines)) # Filter out empty strings
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voice_2_text = " ".join(filter(None, voice_2_lines)) # Filter out empty strings
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st.write(f"Voice 1 Text: {voice_1_text}")
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st.write(f"Voice 2 Text: {voice_2_text}")
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st.session_state.voice1_audio_url = ""
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st.session_state.voice2_audio_url = ""
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if voice_1_text:
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with st.spinner("Getting Voice 1 audio..."):
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try:
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st.session_state.voice1_audio_url = get_tts_audio_url(voice_1_text)
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except requests.exceptions.RequestException as e:
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st.error(f"Error getting Voice 1 audio URL: {e}")
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else:
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st.warning("No text found for Voice 1.")
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if voice_2_text:
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with st.spinner("Getting Voice 2 audio..."):
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try:
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st.session_state.voice2_audio_url = get_tts_audio_url(voice_2_text)
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except requests.exceptions.RequestException as e:
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st.error(f"Error getting Voice 2 audio URL: {e}")
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else:
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st.warning("No text found for Voice 2.")
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st.success("Audio URLs fetched!")
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st.markdown("---")
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st.subheader("Listen to Podcast Voices:")
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col1, col2 = st.columns(2)
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with col1:
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st.markdown("#### Voice 1")
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if st.session_state.voice1_audio_url:
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| 172 |
+
st.audio(st.session_state.voice1_audio_url, format="audio/wav")
|
| 173 |
+
st.download_button(
|
| 174 |
+
label="Download Voice 1 Audio",
|
| 175 |
+
data=download_audio_from_url(st.session_state.voice1_audio_url),
|
| 176 |
+
file_name="voice_1.wav",
|
| 177 |
+
mime="audio/wav",
|
| 178 |
+
key="dl_voice1"
|
| 179 |
+
)
|
| 180 |
+
else:
|
| 181 |
+
st.warning("Voice 1 audio not available.")
|
| 182 |
+
|
| 183 |
+
with col2:
|
| 184 |
+
st.markdown("#### Voice 2")
|
| 185 |
+
if st.session_state.voice2_audio_url:
|
| 186 |
+
st.audio(st.session_state.voice2_audio_url, format="audio/wav")
|
| 187 |
+
st.download_button(
|
| 188 |
+
label="Download Voice 2 Audio",
|
| 189 |
+
data=download_audio_from_url(st.session_state.voice2_audio_url),
|
| 190 |
+
file_name="voice_2.wav",
|
| 191 |
+
mime="audio/wav",
|
| 192 |
+
key="dl_voice2"
|
| 193 |
+
)
|
| 194 |
+
else:
|
| 195 |
+
st.warning("Voice 2 audio not available.")
|
| 196 |
+
|
| 197 |
else:
|
| 198 |
+
st.error("Failed to generate podcast script. Please try again.")
|
| 199 |
+
|
| 200 |
+
st.markdown("---")
|
| 201 |
+
st.markdown("Developed with ❤️ for HUGGINGFACE")
|
| 202 |
+
st.markdown("For more information on Talkbot TTS: [talkbot.ir](https://talkbot.ir)")
|
|
|
|
|
|
|
|
|