Update app.py
Browse files
app.py
CHANGED
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@@ -34,36 +34,45 @@ def stage1_process(uploaded_file):
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# ======================
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@st.cache_resource
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def load_story_model():
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"""Load story
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return (
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AutoTokenizer.from_pretrained("
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AutoModelForCausalLM.from_pretrained("
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)
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def stage2_process(keyword):
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"""Generate children's story"""
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tokenizer, model = load_story_model()
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prompt = f"Write a children's story about {keyword} in 100 words
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outputs = model.generate(
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inputs.input_ids,
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max_length=
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temperature=0.85,
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top_k=50,
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repetition_penalty=1.2
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)
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# ======================
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# Stage 3: Text-to-Speech
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# ======================
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def stage3_process(text):
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"""Convert text to audio"""
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# ======================
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# Main Application
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@@ -73,44 +82,46 @@ def main():
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# Initialize session state
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if 'stage1_done' not in st.session_state:
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st.session_state.
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# File upload
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uploaded_file = st.file_uploader("Upload Image", type=["jpg", "png"])
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if uploaded_file:
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#
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st.image(uploaded_file, width=300)
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# Stage 1
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if not st.session_state.stage1_done:
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with st.spinner("Analyzing image..."):
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caption = stage1_process(uploaded_file)
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st.session_state.caption = caption
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st.session_state.stage1_done = True
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st.success(f"Detected Theme: {st.session_state.caption}")
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# Stage 2
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if not st.session_state.stage2_done:
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with st.spinner("
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story = stage2_process(st.session_state.caption)
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st.session_state.story = story
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st.session_state.stage2_done = True
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st.subheader("Generated Story")
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st.write(st.session_state.story)
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# Stage 3
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with st.spinner("Generating audio..."):
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audio = stage3_process(st.session_state.story)
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if __name__ == "__main__":
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main()
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# ======================
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@st.cache_resource
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def load_story_model():
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"""Load reliable story model"""
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return (
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AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium"),
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AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")
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)
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def stage2_process(keyword):
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"""Generate children's story"""
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tokenizer, model = load_story_model()
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prompt = f"""Write a children's story about {keyword} with animals in 100 words.
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Story: Once upon a time, there was a little rabbit named Fluffy who found"""
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inputs = tokenizer(prompt, return_tensors="pt", max_length=100, truncation=True)
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outputs = model.generate(
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inputs.input_ids,
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max_length=300,
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temperature=0.85,
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top_k=50,
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repetition_penalty=1.2
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)
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full_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return full_text.replace(prompt, "").strip()
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# ======================
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# Stage 3: Text-to-Speech
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# ======================
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def stage3_process(text):
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"""Convert text to audio"""
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try:
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clean_text = text.strip().replace('\n', ' ')[:200]
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if len(clean_text) < 10:
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return None
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tts = gTTS(text=clean_text, lang='en')
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audio = io.BytesIO()
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tts.write_to_fp(audio)
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audio.seek(0)
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return audio
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except:
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return None
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# ======================
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# Main Application
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# Initialize session state
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if 'stage1_done' not in st.session_state:
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st.session_state.update({
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'stage1_done': False,
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'stage2_done': False,
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'caption': "",
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'story': ""
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})
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# File upload
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uploaded_file = st.file_uploader("Upload Image", type=["jpg", "png"])
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if uploaded_file:
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# Permanent display
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st.image(uploaded_file, width=300)
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# Stage 1
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if not st.session_state.stage1_done:
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with st.spinner("Analyzing image..."):
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st.session_state.caption = stage1_process(uploaded_file)
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st.session_state.stage1_done = True
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st.success(f"Detected Theme: {st.session_state.caption}")
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# Stage 2
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if not st.session_state.stage2_done:
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with st.spinner("Writing story..."):
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st.session_state.story = stage2_process(st.session_state.caption)
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st.session_state.stage2_done = True
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# Display results
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if st.session_state.story:
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st.subheader("Generated Story")
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st.write(st.session_state.story)
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# Stage 3
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with st.spinner("Generating audio..."):
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audio = stage3_process(st.session_state.story)
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if audio:
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st.audio(audio, format="audio/mp3")
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st.download_button("Download Audio", audio.getvalue(), "story.mp3")
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else:
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st.warning("Audio generation skipped due to short text")
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if __name__ == "__main__":
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main()
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