Delete app.py

app.py

@@ -1,111 +0,0 @@
-import streamlit as st
-import time
-from openai import GPT3, GPT3APIError
-from typing import List
-import io
-import numpy as np
-import matplotlib.pyplot as plt
-import pandas as pd
-from PIL import Image
-import json
-import random
-import base64
-import gr
-
-
-GOOGLE_API_KEY = "your_google_api_key"
-OPENAI_API_KEY = "your_openai_api_key"
-
-st.set_option('deprecation.showfileUploaderEncoding', False)
-
-openai_api = GPT3(engine="text-davinci-002", max_tokens=1024, temperature=0.4, top_p=1, frequency_penalty=0.0, presence_penalty=0.0)
-
-st.title("Gemini")
-
-def main():
-    if GOOGLE_API_KEY is None:
-        st.warning("Please provide your GOOGLE_API_KEY")
-        return
-
-    # Render components
-    global GOOGLE_API_KEY, OPENAI_API_KEY
-    global image_prompt_component, chatbot_component, text_prompt_component, run_button_component
-    global temperature_component, max_output_tokens_component, stop_sequences_component, top_k_component, top_p_component
-
-    google_key_component = st.text_input(
-        label="GOOGLE API KEY",
-        value="",
-        type="password",
-        placeholder="...",
-        help="You have to provide your own GOOGLE_API_KEY for this app to function properly",
-        visible=GOOGLE_API_KEY is None
-    )
-
-    image_prompt_component = st.image_uploader(
-        label="Image",
-        type="pil",
-        accept_jpg=True,
-        accept_png=True,
-        help="Upload an image or drag-and-drop one onto the canvas."
-    )
-
-    chatbot_component = st.empty()
-
-    text_prompt_component = st.text_input(
-        label="",
-        value="",
-        max_chars=500,
-        help="Type your message here and press Enter."
-    )
-
-    run_button_component = st.button(
-        label="Run",
-        help="Generate a response to your input."
-    )
-
-    temperature_component = st.slider(
-        label="Temperature",
-        min_value=0.0,
-        max_value=1.0,
-        value=0.4,
-        step=0.05,
-        help=(
-            "Temperature controls the degree of randomness in token selection. Lower "
-            "temperatures are good for prompts that expect a true or correct response, "
-            "while higher temperatures can lead to more diverse or unexpected results."
-        )
-    )
-
-    max_output_tokens_component = st.slider(
-        label="Token limit",
-        min_value=1,
-        max_value=2048,
-        value=1024,
-        step=1,
-        help=(
-            "Token limit determines the maximum amount of text output from one prompt. A "
-            "token is approximately four characters. The default value is 2048."
-        )
-    )
-
-    stop_sequences_component = st.text_input(
-        label="Add stop sequence",
-        value="",
-        type="text",
-        placeholder="STOP, END",
-        help=(
-            "A stop sequence is a series of characters (including spaces) that stops "
-            "response generation if the model encounters it. The sequence is not included "
-            "as part of the response. You can add up to five stop sequences."
-        )
-    )
-
-    top_k_component = st.slider(
-        label="Top-K",
-        min_value=1,
-        max_value=40,
-        value=32,
-        step=1,
-        help=(
-            "Top-k changes how the model selects tokens for output. A top-k of 1 means the "
-            "selected token is the most probable among all tokens in the