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Update app.py
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app.py
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import os
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import time
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import gradio as gr
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import google.generativeai as genai
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from phi.agent import Agent
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from phi.model.google import Gemini
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from google.generativeai import upload_file, get_file
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from dotenv import load_dotenv
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# --- Load API Key ---
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load_dotenv()
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API_KEY = os.getenv("GOOGLE_API_KEY")
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if not API_KEY:
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raise EnvironmentError("GOOGLE_API_KEY not found in environment.")
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genai.configure(api_key=API_KEY)
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# --- Fix SRT format ---
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def fix_srt_format(input_file, output_file):
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with open(input_file, "r", encoding="utf-8") as infile:
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lines = infile.readlines()
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fixed_lines = []
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for i, line in enumerate(lines):
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if line.strip().isdigit():
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if i > 0 and lines[i - 1].strip() != "":
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fixed_lines.append("\n")
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fixed_lines.append(line)
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with open(output_file, "w", encoding="utf-8") as outfile:
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outfile.writelines(fixed_lines)
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# --- Initialize Gemini Agent ---
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def initialize_agent():
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return Agent(
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name="Video AI Subtitle Generator",
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model=Gemini(id="gemini-2.0-flash-exp"),
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markdown=True,
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)
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# --- Prompt Template ---
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subtitle_prompt_tuned = '''
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You are given a video. Your task is to extract the **spoken words** along with the **exact timestamps** of when they are spoken.
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Please follow these instructions strictly:
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1. For **every three consecutive spoken words**, include:
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- A unique **line number**
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- The **exact start time** and **end time** in the format: HH:MM:SS,mmm --> HH:MM:SS,mmm
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- The **three spoken words** on the next line (exactly three words per block, separated by spaces)
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2. Do **not** include more or fewer than three words per timestamp.
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3. Do not summarize, paraphrase, or skip any spoken content — include **all spoken words verbatim**.
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4. Do **not** include any sound effects or non-verbal cues like [Music], [Laughter], etc.
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5. Your output must be a **raw transcription** — no extra formatting, no explanations, no commentary.
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6. Maintain the exact **chronological order** as spoken in the video.
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***FINAL AND CRITICAL REMINDER***: The **timestamp accuracy is the highest priority**. Focus on getting the **precise start and end time for every group of three words**.
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Example format:
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1
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00:00:01,000 --> 00:00:01,800
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Hello everyone welcome
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2
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00:00:01,810 --> 00:00:02,600
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to this tutorial
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...
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Only output the transcription in the above format. Do not return any additional text.
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'''
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# --- Gradio Interface Function ---
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def generate_subtitles(video):
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if not video:
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return None
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video_path = video
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output_txt = "raw_subtitles.srt"
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output_fixed = "output_subtitles.srt"
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agent = initialize_agent()
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print("[INFO] Uploading video...")
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uploaded_video = upload_file(video_path)
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while uploaded_video.state.name == "PROCESSING":
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time.sleep(1)
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uploaded_video = get_file(uploaded_video.name)
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print("[INFO] Generating subtitles...")
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response = agent.run(subtitle_prompt_tuned, videos=[uploaded_video])
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raw_text = response.content.strip()
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with open(output_txt, "w", encoding="utf-8") as f:
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f.write(raw_text)
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fix_srt_format(output_txt, output_fixed)
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return output_fixed
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# --- Launch Gradio App ---
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demo = gr.Interface(
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fn=generate_subtitles,
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inputs=gr.Video(label="Upload MP4 Video"),
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outputs=gr.File(label="Download .srt Subtitle File"),
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title="
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description="Upload a video to extract precise subtitles using
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)
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if __name__ == "__main__":
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demo.launch(share=True)
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import os
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import time
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import gradio as gr
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import google.generativeai as genai
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from phi.agent import Agent
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from phi.model.google import Gemini
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from google.generativeai import upload_file, get_file
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from dotenv import load_dotenv
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# --- Load API Key ---
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load_dotenv()
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API_KEY = os.getenv("GOOGLE_API_KEY")
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if not API_KEY:
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raise EnvironmentError("GOOGLE_API_KEY not found in environment.")
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genai.configure(api_key=API_KEY)
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# --- Fix SRT format ---
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def fix_srt_format(input_file, output_file):
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with open(input_file, "r", encoding="utf-8") as infile:
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lines = infile.readlines()
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fixed_lines = []
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for i, line in enumerate(lines):
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if line.strip().isdigit():
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if i > 0 and lines[i - 1].strip() != "":
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fixed_lines.append("\n")
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fixed_lines.append(line)
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with open(output_file, "w", encoding="utf-8") as outfile:
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outfile.writelines(fixed_lines)
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# --- Initialize Gemini Agent ---
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def initialize_agent():
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return Agent(
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name="Video AI Subtitle Generator",
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model=Gemini(id="gemini-2.0-flash-exp"),
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markdown=True,
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)
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# --- Prompt Template ---
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subtitle_prompt_tuned = '''
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You are given a video. Your task is to extract the **spoken words** along with the **exact timestamps** of when they are spoken.
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+
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+
Please follow these instructions strictly:
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+
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+
1. For **every three consecutive spoken words**, include:
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+
- A unique **line number**
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+
- The **exact start time** and **end time** in the format: HH:MM:SS,mmm --> HH:MM:SS,mmm
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+
- The **three spoken words** on the next line (exactly three words per block, separated by spaces)
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2. Do **not** include more or fewer than three words per timestamp.
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3. Do not summarize, paraphrase, or skip any spoken content — include **all spoken words verbatim**.
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+
4. Do **not** include any sound effects or non-verbal cues like [Music], [Laughter], etc.
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+
5. Your output must be a **raw transcription** — no extra formatting, no explanations, no commentary.
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+
6. Maintain the exact **chronological order** as spoken in the video.
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+
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+
***FINAL AND CRITICAL REMINDER***: The **timestamp accuracy is the highest priority**. Focus on getting the **precise start and end time for every group of three words**.
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+
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+
Example format:
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+
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+
1
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00:00:01,000 --> 00:00:01,800
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Hello everyone welcome
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+
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2
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00:00:01,810 --> 00:00:02,600
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to this tutorial
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+
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...
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Only output the transcription in the above format. Do not return any additional text.
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'''
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# --- Gradio Interface Function ---
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def generate_subtitles(video):
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if not video:
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return None
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video_path = video
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output_txt = "raw_subtitles.srt"
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output_fixed = "output_subtitles.srt"
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agent = initialize_agent()
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print("[INFO] Uploading video...")
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uploaded_video = upload_file(video_path)
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while uploaded_video.state.name == "PROCESSING":
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time.sleep(1)
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uploaded_video = get_file(uploaded_video.name)
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print("[INFO] Generating subtitles...")
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response = agent.run(subtitle_prompt_tuned, videos=[uploaded_video])
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raw_text = response.content.strip()
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with open(output_txt, "w", encoding="utf-8") as f:
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f.write(raw_text)
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fix_srt_format(output_txt, output_fixed)
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return output_fixed
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# --- Launch Gradio App ---
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demo = gr.Interface(
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fn=generate_subtitles,
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inputs=gr.Video(label="Upload MP4 Video"),
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outputs=gr.File(label="Download .srt Subtitle File"),
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title="Subtitle Generator",
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description="Upload a video to extract precise subtitles using AI. Output is a .srt file with exact timestamps.",
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)
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if __name__ == "__main__":
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demo.launch(share=True)
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