Update app.py

app.py

@@ -1,111 +1,6 @@
-import os
-import openai 
-openai.api_key = os.getenv("OPENAI_API_KEY")
-
-import gradio as gr 
-from youtube_transcript_api import YouTubeTranscriptApi
-from urllib.parse import urlparse, parse_qs
-from requests.structures import CaseInsensitiveDict
-
-
-def Prompt_T(context):
-  result  = """I want you to act as a content writer who is working with youtube video transcript. Summarise the following text:
-  =========
-  """+ context +"""
-  =========
-  Answer:"""
-  return result
-
-
-def split_string(string, chunk_size):
-    return [string[i:i+chunk_size] for i in range(0, len(string), chunk_size)]
-
-
-def gpt_api (input_text):
-  completion = openai.ChatCompletion.create(
-    model="gpt-3.5-turbo",
-    messages=[  {"role": "system", "content": input_text} ]
-    )
-  response = completion.choices[0].message.content
-  return response
-
-def generate(video_url, request: gr.Request):
-
-    #Если есть get переменная v, создаем video_url
-    try:
-      headers =request.headers
-      url = headers.get('referer')
-      parsed_url = urlparse(url)
-      query_params = parse_qs(parsed_url.query)
-      my_dict = query_params
-    except KeyError as e:
-      print("Что то случилось в header", e)
-        
-    try:
-      my_v = my_dict['v'][0]
-      video_url ="https://youtube.com/watch?v="+my_v
-    except KeyError:
-      print("Ключ 'v' отсутствует в словаре.")
-      my_v = ""
-
-    #Если две переменные пустые, то показываем базовую страницу с рекламой
-    if (video_url =="") and (my_v == ""):  
-      html_embed='<div><br> An easy way to get video descriptions If you are on YouTube itself, simply add "zxc" in front of YouTube to the videos address.</div>'
-      summarize=""
-      return summarize, html_embed
-    
-    #похоже ли video_url на номальну ссылку
-    if "youtube.com/watch?v=" in video_url: x=111
-    else: return "Неверный URL", "Ошибка"
- 
-    #Пробуем извлеч video_id пока на английском
-    video_id = video_url[-11:]
-    try:
-      t = YouTubeTranscriptApi.get_transcript(video_id,languages=["en"])
-      # do something with the transcript
-    except Exception as e:
-      return "Несмогли нати трнскрипт", "Ошибка"
-      
-    finalString = ""
-    for item in t:
-        text = item['text']
-        finalString += text + " "
-
-
-    print("Transcript:",finalString)
-    print("Transcript lenght:",len(finalString))
-    print ("===============================================")
-    input_string = finalString
-    chunk_size = 10000
-    result_list = split_string(input_string, chunk_size)
-    eng_answer=""
-    count= 0
-    for item in result_list:
-      count = count +1
-      context = item
-      eng_prompt = Prompt_T(context)
-      eng_answer = eng_answer +" \n" + gpt_api (eng_prompt)
-      print("Context:", context)
-      print(count, " - part eng_answer:", eng_answer)
-      print("==========================")
-      
-    html_embed='<iframe width="450" height="158" src="https://www.youtube.com/embed/'+ video_id +'" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>'
-    html_content="<h6>"+"<br>"+eng_answer+"</h6>"
-    return html_content, html_embed
-title = "YouTube Summorize (only english video)"
-css="""
-footer {visibility: hidden}
-.gradio-container {padding-top: 100px}
-"""
-with gr.Blocks(css=css, title=title) as demo:
-    with gr.Row():   
-        with gr.Column():
-          input_d = gr.Textbox(label="YouTube video URL", placeholder="https://www.youtube.com/watch?v=XXXXXXXX")
-          greet_btn = gr.Button("Summarise")
-        dt_2 = gr.outputs.HTML() 
-    dt_1 = gr.outputs.HTML()
-    dt =[dt_1, dt_2 ]
-    greet_btn.click(generate, inputs=input_d, outputs=dt)
-    demo.load(generate, inputs=input_d, outputs=dt)
-
-demo.launch(share=False, debug=True )
+import gradio as gr
+def echo(name, request: gr.Request):
+    print("Request headers dictionary:", request.headers)
+    print("IP address:", request.client.host)
+    return name
+io = gr.Interface(echo, "textbox", "textbox").launch()