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Browse files- app.py +111 -0
- requirements.txt +4 -0
app.py
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import gradio as gr
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from transformers import pipeline
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import requests
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import os
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import html
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import base64
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import random
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import json
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from datetime import datetime
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chat_gen = pipeline("text-generation", model="tiiuae/falcon-rw-1b")
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voice_options = {
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"Rachel": "EXAVITQu4vr4xnSDxMaL",
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"Adam": "21m00Tcm4TlvDq8ikWAM",
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"Elli": "AZnzlk1XvdvUeBnXmlld",
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"Josh": "VR6AewLTigWG4xSOukaG"
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}
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DEFAULT_ELEVEN_API_KEY = "sk_4e67c39c0e9cbc87462cd2643e1f4d1d9959d7d81203adc2"
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library_file = "/tmp/library.json"
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def generate_chat_bundle(prompt, *character_inputs):
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characters = [c.split(":")[0].strip() for c in character_inputs if ":" in c]
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voices = {c.split(":")[0].strip(): c.split(":")[1].strip() for c in character_inputs if ":" in c}
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system_prompt = (
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f"Group chat between {', '.join(characters)}. Prompt: {prompt}. "
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"Use casual texting style: Name: message"
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)
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response = chat_gen(system_prompt, max_new_tokens=300)[0]["generated_text"]
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chat_lines = [(line.split(':', 1)[0].strip(), line.split(':', 1)[1].strip()) for line in response.splitlines() if ':' in line]
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html_chat = ""
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file_paths = []
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api_key = os.getenv("ELEVEN_API_KEY", DEFAULT_ELEVEN_API_KEY)
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for i, (name, msg) in enumerate(chat_lines):
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color = random.choice(["#DCF8C6", "#FEE2E2", "#EDEDED", "#C7E2FF"])
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html_chat += f"""<div style='margin: 10px; text-align: {'left' if i % 2 == 0 else 'right'}'>
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<div style='display:inline-block; padding: 10px 15px; background: {color}; border-radius: 15px; max-width: 70%;'>
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<strong>{html.escape(name)}:</strong> {html.escape(msg)}
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</div></div>"""
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voice_id = voices.get(name, list(voice_options.values())[0])
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eleven_response = requests.post(
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f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}",
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headers={
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"xi-api-key": api_key,
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"Content-Type": "application/json"
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},
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json={"text": msg, "model_id": "eleven_monolingual_v1"}
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)
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if eleven_response.status_code == 200:
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file_path = f"/tmp/audio_{i}_{name}.mp3"
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with open(file_path, 'wb') as f:
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f.write(eleven_response.content)
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file_paths.append(file_path)
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timestamp = datetime.now().strftime('%Y%m%d-%H%M%S')
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html_path = f"/tmp/fakechat_{timestamp}.html"
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with open(html_path, "w") as f:
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f.write(f"<html><body>{html_chat}</body></html>")
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file_paths.append(html_path)
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if os.path.exists(library_file):
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with open(library_file, "r") as f:
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lib = json.load(f)
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else:
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lib = []
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lib.insert(0, {
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"timestamp": timestamp,
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"characters": characters,
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"prompt": prompt,
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"html": html_path,
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"audio_files": file_paths[:-1]
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})
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with open(library_file, "w") as f:
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json.dump(lib, f, indent=2)
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return file_paths
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def get_library():
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if not os.path.exists(library_file):
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return "No stories saved yet."
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with open(library_file, "r") as f:
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lib = json.load(f)
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html_links = [f"<li><b>{item['timestamp']}</b>: {', '.join(item['characters'])} — <a href='file={item['html']}' target='_blank'>Chat</a></li>" for item in lib]
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return "<ul>" + "".join(html_links) + "</ul>"
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def build_character_inputs():
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return [gr.Textbox(label=f"Character {i+1} (Format: Name:Voice)", placeholder="e.g. Anna:Rachel") for i in range(4)]
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with gr.Blocks() as app:
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with gr.Row():
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with gr.Column(scale=3):
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characters = build_character_inputs()
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prompt = gr.Textbox(label="Scene Prompt")
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generate_btn = gr.Button("🎤 Generate Chat + Audio")
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file_output = gr.File(file_types=[".html", ".mp3"], label="Download Files")
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with gr.Column(scale=1):
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lib_html = gr.HTML(label="📁 My Saved Stories")
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refresh_btn = gr.Button("🔁 Refresh Library")
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generate_btn.click(fn=generate_chat_bundle, inputs=[prompt] + characters, outputs=file_output)
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refresh_btn.click(fn=get_library, outputs=lib_html)
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app.launch()
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requirements.txt
ADDED
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@@ -0,0 +1,4 @@
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| 1 |
+
transformers
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| 2 |
+
gradio
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| 3 |
+
torch
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| 4 |
+
requests
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