chore: Update Dockerfile and docker-compose.yml for Gradio server configuration

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README.md

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+# PDF to Podcast Converter
+
+## Overview
+
+This project provides a tool to convert any PDF document into a podcast episode! Using OpenAI's text-to-speech models and Google Gemini, this tool processes the content of a PDF, generates a natural dialogue suitable for an audio podcast, and outputs it as an MP3 file.
+
+## Features
+
+- **Convert PDF to Podcast:** Upload a PDF and convert its content into a podcast dialogue.
+- **Engaging Dialogue:** The generated dialogue is designed to be informative and entertaining.
+- **Multiple Voice Options:** Choose from different voices to narrate the podcast.
+- **User-friendly Interface:** Simple interface using Gradio for easy interaction.
+
+## Installation
+
+To set up the project, follow these steps:
+
+1. **Clone the repository:**
+   ```bash
+   git clone https://github.com/knowsuchagency/pdf-to-podcast.git
+   cd pdf-to-podcast
+   ```
+
+2. **Create a virtual environment and activate it:**
+   ```bash
+   python -m venv venv
+   source venv/bin/activate
+   ```
+
+3. **Install the required packages:**
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+## Usage
+
+1. **Set up API Key(s):**
+   Ensure you have an Google Gemini API key. You can get yours at https://aistudio.google.com/app/apikey.
+   Use it as the value to `GEMINI_API_KEY`.
+   You'll also need an api key for OpenAI which you can either pass through the interface or set as the `OPENAI_API_KEY` environment variable.
+
+   Gemini flash is used as the LLM and OpenAI is used for text-to-speech.
+
+2. **Run the application:**
+   ```bash
+   python main.py
+   ```
+   This will launch a Gradio interface in your web browser.
+
+3. **Upload a PDF:**
+   Upload the PDF document you want to convert into a podcast.
+
+4. **Enter OpenAI API Key:**
+   Provide your OpenAI API key in the designated textbox.
+
+5. **Generate Audio:**
+   Click the button to start the conversion process. The output will be an MP3 file containing the podcast dialogue.
+
+## Project Structure
+
+- **main.py:** Main application script.
+- **requirements.txt:** List of dependencies.
+- **README.md:** Project documentation (this file).
+
+## Code Explanation
+
+### Dialogue Models
+
+Defines the structure of the dialogue using Pydantic models.
+
+```python
+class DialogueItem(BaseModel):
+    text: str
+    voice: Literal["alloy", "onyx", "fable"]
+
+class Dialogue(BaseModel):
+    scratchpad: str
+    dialogue: List[DialogueItem]
+```
+
+### LLM Function
+
+Generates dialogue based on the input text using the `promptic` decorator.
+
+```python
+@llm(model="gemini/gemini-1.5-flash")
+def generate_dialogue(text: str) -> Dialogue:
+    # Function to generate podcast dialogue
+```
+
+### TTS Function
+
+Converts text to speech using OpenAI's text-to-speech model.
+
+```python
+def get_mp3(text: str, voice: str, api_key: str = None) -> bytes:
+    # Function to generate MP3 from text
+```
+
+### Main Function
+
+Processes the PDF, generates dialogue, and converts it to audio.
+
+```python
+def generate_audio(file: bytes, openai_api_key: str) -> bytes:
+    # Main function to process PDF and generate audio
+```
+
+### Gradio Interface
+
+Creates a user-friendly interface for uploading PDFs and generating podcasts.
+
+```python
+demo = gr.Interface(
+    title="PDF to Podcast",
+    description="Convert any PDF document into an engaging podcast episode!",
+    fn=generate_audio,
+    inputs=[
+        gr.File(label="Input PDF", type="binary"),
+        gr.Textbox(label="OpenAI API Key", placeholder="Enter your OpenAI API key here"),
+    ],
+    outputs=[
+        gr.Audio(format="mp3"),
+    ],
+)
+
+demo.launch(show_api=False)
+```
+
+## License
+
+This project is licensed under the Apache 2.0 License. See the [LICENSE](LICENSE) file for more information.