Update app.py
Browse files
app.py
CHANGED
@@ -3,6 +3,8 @@ from PIL import Image
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from transformers import pipeline
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from gtts import gTTS
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def generate_caption(image_file):
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image = Image.open(image_file)
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@@ -11,23 +13,22 @@ def generate_caption(image_file):
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caption = caption_results[0]['generated_text']
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return caption
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-
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def generate_story(prompt):
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story_generator = pipeline("text-generation", model="gpt2")
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result = story_generator(prompt, max_length=300, num_return_sequences=1)
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story = result[0]['generated_text']
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if len(story.split()) < 100:
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additional = story_generator(prompt, max_length=350, num_return_sequences=1)[0]['generated_text']
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story += " " + additional
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return story
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# ----------------------------
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# generate_illustration
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# ----------------------------
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@st.cache_resource
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# def load_image_generator():
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# device = "cuda" if torch.cuda.is_available() else "cpu"
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# torch_dtype = torch.float16 if device == "cuda" else torch.float32
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# pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
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@@ -40,38 +41,40 @@ def generate_story(prompt):
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# generated_image = image_result.images[0]
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# return generated_image
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def text_to_speech(text, output_file="output.mp3"):
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tts = gTTS(text=text, lang="en")
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tts.save(output_file)
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return output_file
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def main():
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st.
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uploaded_file = st.file_uploader("Select Image", type=["png", "jpg", "jpeg"])
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if uploaded_file is not None:
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image = Image.open(uploaded_file)
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st.image(image, caption="Uploaded image", use_column_width=True)
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with st.spinner("
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caption = generate_caption(uploaded_file)
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st.write("Image Caption
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with st.spinner("Generating story..."):
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st.write(story)
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# with st.spinner("Generating illustration..."):
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# illustration = generate_illustration(story[:200])
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# st.write("### Story Illustrations:")
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# st.image(illustration, caption="Story Illustrations", use_column_width=True)
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with st.spinner("Converting to voice
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audio_file = text_to_speech(story)
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st.audio(audio_file, format="audio/mp3")
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from transformers import pipeline
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from gtts import gTTS
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# 设置页面基本配置:标题、标签和图标
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st.set_page_config(page_title="Your Image to Audio Story", page_icon="🦜")
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def generate_caption(image_file):
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image = Image.open(image_file)
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caption = caption_results[0]['generated_text']
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return caption
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def generate_story(prompt):
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story_generator = pipeline("text-generation", model="gpt2")
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result = story_generator(prompt, max_length=300, num_return_sequences=1)
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story = result[0]['generated_text']
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# 如果生成的故事长度较短,则额外生成一部分内容
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if len(story.split()) < 100:
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additional = story_generator(prompt, max_length=350, num_return_sequences=1)[0]['generated_text']
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story += " " + additional
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return story
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# ----------------------------
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# generate_illustration (暂时注释掉,如果需要启用请解除注释)
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# ----------------------------
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@st.cache_resource
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# def load_image_generator():
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# device = "cuda" if torch.cuda.is_available() else "cpu"
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# torch_dtype = torch.float16 if device == "cuda" else torch.float32
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# pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
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# generated_image = image_result.images[0]
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# return generated_image
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def text_to_speech(text, output_file="output.mp3"):
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tts = gTTS(text=text, lang="en")
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tts.save(output_file)
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return output_file
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def main():
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# 居中显示标题,添加图标
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st.markdown("<h1 style='text-align: center;'>Your Image to Audio Story 🦜</h1>", unsafe_allow_html=True)
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st.write("Upload an image below and we will generate an engaging story from the picture, then convert the story into an audio playback!")
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# 图片上传
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uploaded_file = st.file_uploader("Select Image", type=["png", "jpg", "jpeg"])
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if uploaded_file is not None:
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image = Image.open(uploaded_file)
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st.image(image, caption="Uploaded image", use_column_width=True)
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with st.spinner("Generating image caption..."):
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caption = generate_caption(uploaded_file)
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st.write("**Image Caption:**", caption)
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with st.spinner("Generating story..."):
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story_prompt = f"Please generate a children's story based on this description: {caption}"
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story = generate_story(story_prompt)
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st.write("**Story:**")
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st.write(story)
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# 以下代码为生成故事插图(需要启用相关模型支持)
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# with st.spinner("Generating illustration..."):
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# illustration = generate_illustration(story[:200])
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# st.write("### Story Illustrations:")
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# st.image(illustration, caption="Story Illustrations", use_column_width=True)
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with st.spinner("Converting text to voice..."):
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audio_file = text_to_speech(story)
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st.audio(audio_file, format="audio/mp3")
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