Update app.py
Browse files
app.py
CHANGED
@@ -3,17 +3,17 @@ import gradio as gr
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import os
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import speech_recognition as sr
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#
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groqkey = os.getenv("groqkey")
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#
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if not groqkey:
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raise ValueError("π¨ Error: 'groqkey' is missing! Make sure it is set in Hugging Face Secrets.")
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client = Groq(api_key=groqkey)
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#
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def get_chatbot_response(user_message, insurance_type, country, claim_number, image, language, conversation_history):
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"""Fetch insurance-related responses from the AI."""
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@@ -44,7 +44,7 @@ def get_chatbot_response(user_message, insurance_type, country, claim_number, im
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if image:
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conversation_history.append({"role": "user", "content": "[User uploaded an image]"})
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#
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completion = client.chat.completions.create(
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model="mixtral-8x7b",
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messages=conversation_history,
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@@ -65,7 +65,7 @@ def get_chatbot_response(user_message, insurance_type, country, claim_number, im
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return conversation_history, chat_display
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#
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def transcribe_audio(audio):
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recognizer = sr.Recognizer()
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with sr.AudioFile(audio) as source:
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@@ -78,7 +78,7 @@ def transcribe_audio(audio):
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except sr.RequestError:
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return "Error processing the audio."
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#
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theme = gr.themes.Base().set(
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body_background_fill="linear-gradient(to right, #001F3F, #0052CC)", # Dark navy to royal blue
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button_primary_background_fill="linear-gradient(135deg, #FFD700, #FFAA00)", # Golden gradient
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@@ -134,9 +134,9 @@ button.primary:hover {
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}
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"""
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#
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with gr.Blocks(theme=theme, css=custom_css) as demo:
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gr.HTML("<h2 class='title-text'
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gr.Markdown("### Select your insurance type, country, and ask your question.")
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with gr.Row():
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@@ -162,13 +162,13 @@ with gr.Blocks(theme=theme, css=custom_css) as demo:
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conversation_state = gr.State([])
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chatbot = gr.Chatbot(label="Chat History", type="messages") #
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clear_button = gr.Button("Clear Chat History")
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clear_button.click(lambda: [], outputs=[conversation_state, chatbot])
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question_input = gr.Textbox(label="Ask your question...", placeholder="Describe your insurance question...", interactive=True)
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image_input = gr.File(label="Upload an image (optional)", type="filepath") #
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voice_input = gr.Audio(label="Speak your question (optional)", type="filepath")
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submit_btn = gr.Button("Send")
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import os
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import speech_recognition as sr
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# Securely retrieve the Groq API key from Hugging Face Secrets
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groqkey = os.getenv("groqkey")
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# Ensure the API key exists
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if not groqkey:
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raise ValueError("π¨ Error: 'groqkey' is missing! Make sure it is set in Hugging Face Secrets.")
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# Initialize the Groq client
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client = Groq(api_key=groqkey)
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# Define chatbot response function
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def get_chatbot_response(user_message, insurance_type, country, claim_number, image, language, conversation_history):
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"""Fetch insurance-related responses from the AI."""
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if image:
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conversation_history.append({"role": "user", "content": "[User uploaded an image]"})
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# API call to Groq
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completion = client.chat.completions.create(
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model="mixtral-8x7b",
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messages=conversation_history,
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return conversation_history, chat_display
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# Convert voice input to text
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def transcribe_audio(audio):
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recognizer = sr.Recognizer()
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with sr.AudioFile(audio) as source:
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except sr.RequestError:
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return "Error processing the audio."
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# Styling and Theme
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theme = gr.themes.Base().set(
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body_background_fill="linear-gradient(to right, #001F3F, #0052CC)", # Dark navy to royal blue
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button_primary_background_fill="linear-gradient(135deg, #FFD700, #FFAA00)", # Golden gradient
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}
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"""
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# Build Gradio Interface
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with gr.Blocks(theme=theme, css=custom_css) as demo:
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gr.HTML("<h2 class='title-text'>π‘οΈ AI Insurance Chatbot</h2>")
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gr.Markdown("### Select your insurance type, country, and ask your question.")
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with gr.Row():
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conversation_state = gr.State([])
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chatbot = gr.Chatbot(label="Chat History", type="messages") # Fix: Set type to "messages"
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clear_button = gr.Button("Clear Chat History")
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clear_button.click(lambda: [], outputs=[conversation_state, chatbot])
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question_input = gr.Textbox(label="Ask your question...", placeholder="Describe your insurance question...", interactive=True)
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image_input = gr.File(label="Upload an image (optional)", type="filepath") # Fix: Change type to "filepath"
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voice_input = gr.Audio(label="Speak your question (optional)", type="filepath")
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submit_btn = gr.Button("Send")
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