Merge branch 'main' of https://huggingface.co/spaces/phxdev/podcaster

README.md

@@ -1,9 +1,11 @@
 ---
-title: Podcaster
-emoji: 👁
+title: URL to Podcast Generator
+emoji: 🎙️
 colorFrom: indigo
-colorTo: gray
-sdk: docker
+colorTo: purple
+sdk: gradio
+sdk_version: "5.12.0"
+app_file: app.py
 pinned: false
 short_description: A Podcast Generator
 python_version: 3.12

app.py

@@ -0,0 +1,38 @@
+from flask import Flask, render_template
+import gradio as gr
+from scraper import scrape_url
+from podcast_generator import PodcastGenerator
+from tts import text_to_speech
+
+app = Flask(__name__)
+
+def generate_podcast(url):
+    content = scrape_url(url)
+    podcast_generator = PodcastGenerator()
+    podcast_text = podcast_generator.generate_podcast(content)
+    audio_file = text_to_speech(podcast_text)
+    return audio_file
+
+# Create Gradio interface
+demo = gr.Interface(
+    fn=generate_podcast,
+    inputs=gr.Textbox(
+        label="Website URL",
+        placeholder="Enter the URL of the website you want to convert to a podcast"
+    ),
+    outputs=gr.Audio(label="Generated Podcast"),
+    title="URL to Podcast Generator",
+    description="Enter a URL to generate a podcast episode based on its content.",
+    theme="huggingface",
+    allow_flagging="never",
+)
+
+# Mount Gradio interface to Flask
+app = gr.mount_gradio_app(app, demo, path="/")
+
+if __name__ == "__main__":
+    app.run(
+        host="0.0.0.0",
+        port=7860,
+        debug=True
+    )

podcast_generator.py

@@ -0,0 +1,9 @@
+class PodcastGenerator:
+    def __init__(self, model_client):
+        self.model_client = model_client
+
+    def generate_podcast(self, scraped_content):
+        prompt = f"Create a podcast episode based on the following content: {scraped_content}"
+        response = self.model_client.generate(prompt, max_length=300)  # Assuming 300 tokens is roughly 3 minutes
+        podcast_text = response.get('text', '')
+        return podcast_text.strip()

requirements.txt

@@ -1,38 +1,9 @@
-# Core AI and Language Models
-langchain-openai>=0.0.1
-langchain-google-genai>=0.0.1
-langchain-anthropic>=0.0.1
-langchain-ollama>=0.0.1
-
-# Web and Browser Automation
-playwright>=1.40.0
-browser-use>=0.1.20
-aiohttp>=3.8.0
-requests>=2.31.0
-
-# Audio Generation
-elevenlabs>=0.1.0
-
-# Data Handling and Validation
-pydantic>=2.0.0
-dataclasses>=0.6
-typing-extensions>=4.8.0
-
-# Configuration and Environment
-python-dotenv>=1.0.0
-
-# Error Handling and Logging
-python-json-logger>=2.0.0  # Structured JSON logging
-rich>=13.0.0  # For console output formatting
-backoff>=2.2.0  # Retry mechanism
-tenacity>=8.2.0  # Retry utilities
-
-# UI and Interface
-gradio>=4.0.0  # For better themes and UI components
-
-# Async Support
-asyncio>=3.4.3
-
-# Testing and Development
-pytest>=7.0.0  # For running tests
-mypy>=1.0.0   # For type checking
+gradio==3.0.0
+browser-use
+elevenlabs==0.2.26
+flask==3.0.0
+pydub==0.25.1           # audio processing library
+python-dotenv==1.0.0    # for environment variables
+requests==2.31.0        # for API calls
+numpy>1.24.3           # common dependency
+openrouter

scraper.py

@@ -0,0 +1,24 @@
+def scrape_url(url):
+    from browser_use import Browser
+    from bs4 import BeautifulSoup
+
+    # Initialize the browser
+    browser = Browser()
+
+    # Open the URL
+    browser.open(url)
+
+    # Get the page content
+    content = browser.get_page_source()
+
+    # Close the browser
+    browser.close()
+
+    # Parse the HTML content
+    soup = BeautifulSoup(content, 'html.parser')
+
+    # Extract relevant text (modify the selector as needed)
+    text_elements = soup.find_all(['main'])
+    text_content = ' '.join([element.get_text() for element in text_elements])
+
+    return text_content.strip()

tts.py

@@ -0,0 +1,23 @@
+def text_to_speech(text, api_key):
+    import requests
+
+    url = "https://api.elevenlabs.io/v1/text-to-speech"
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json"
+    }
+    data = {
+        "text": text,
+        "voice": "en_us_male",  # Specify the desired voice
+        "output_format": "mp3"  # Specify the desired output format
+    }
+
+    response = requests.post(url, headers=headers, json=data)
+
+    if response.status_code == 200:
+        audio_content = response.content
+        with open("podcast_episode.mp3", "wb") as audio_file:
+            audio_file.write(audio_content)
+        return "podcast_episode.mp3"
+    else:
+        raise Exception(f"Error: {response.status_code}, {response.text}")