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| # import gradio as gr | |
| # import requests | |
| # import os | |
| # def function(Textbox,Textbox2): | |
| # target = os.environ.get("target") | |
| # target2 = os.environ.get("target2") | |
| # model = os.environ.get("model") | |
| # hrc = os.environ.get("hrc") | |
| # content = os.environ.get("content") | |
| # if Textbox2 == target: | |
| # payload = { | |
| # "model": "gpt-3.5-turbo", | |
| # "messages": [{"role": "system", "content": content},{"role": "user", "content": Textbox}], | |
| # "temperature" : 1.0, | |
| # "top_p":1.0, | |
| # "n" : 1, | |
| # "stream": False, | |
| # "presence_penalty":0, | |
| # "frequency_penalty":0, | |
| # } | |
| # headers = { | |
| # "Content-Type": "application/json", | |
| # "Authorization": f"Bearer {target2}" | |
| # } | |
| # response = requests.post(hrc, headers=headers, json=payload, stream=False) | |
| # response = response.json() | |
| # return response["choices"][0]["message"]["content"] | |
| # else: | |
| # return "Failed" | |
| # inputs = [ | |
| # gr.inputs.Textbox(label="Textbox",type="text"), | |
| # gr.inputs.Textbox(label="Textbox2",type="password") | |
| # ] | |
| # iface = gr.Interface(fn=function, inputs=inputs, outputs="text") | |
| # iface.launch() | |
| # import gradio as gr | |
| # import requests | |
| # import openai | |
| # import os | |
| # def function(Textbox,Textbox3): | |
| # target = os.environ.get("target") | |
| # target2 = os.environ.get("target2") | |
| # openai.api_key = target2 | |
| # content = os.environ.get("content") | |
| # # model = os.environ.get("model") | |
| # # hrc = os.environ.get("hrc") | |
| # if Textbox3 == target: | |
| # messages = [ | |
| # {"role": "system", "content": content}, | |
| # ] | |
| # messages.append( | |
| # {"role": "user", "content": Textbox}, | |
| # ) | |
| # chat = openai.ChatCompletion.create( | |
| # model="gpt-3.5-turbo", messages=messages | |
| # ) | |
| # reply = chat.choices[0].message.content | |
| # messages.append({"role": "assistant", "content": reply}) | |
| # return reply | |
| # else: | |
| # return "Failed" | |
| # inputs = [ | |
| # gr.inputs.Textbox(label="Textbox",type="text"), | |
| # # gr.inputs.Textbox(label="Textbox2",type="text"), | |
| # gr.inputs.Textbox(label="Textbox3",type="password") | |
| # ] | |
| # iface = gr.Interface(fn=function, inputs=inputs, outputs="text") | |
| # iface.launch() | |
| from time import sleep | |
| from io import BytesIO | |
| from PIL import Image | |
| import gradio as gr | |
| import numpy as np | |
| import replicate | |
| import traceback | |
| import requests | |
| import openai | |
| import random | |
| import base64 | |
| import os | |
| import urllib.request | |
| from pydub import AudioSegment | |
| def function(Textbox, Textbox2, Textbox3, Dropdown): | |
| target = os.environ.get("target") | |
| target2 = os.environ.get("target2") | |
| os.environ["REPLICATE_API_TOKEN"] | |
| # openai.api_key = target2 | |
| # openai.api_base = os.environ.get("base") | |
| content = os.environ.get("content") | |
| link1 = os.environ.get("link1") | |
| path = os.environ.get("path") | |
| link2 = os.environ.get("link2") | |
| if "/web" in Textbox.lower() or "web" in Textbox.lower(): | |
| try: | |
| prompt = Textbox.replace("/web", "") | |
| except: | |
| prompt = Textbox.replace("web", "") | |
| headers = { | |
| "authority": link1, | |
| "method": "POST", | |
| "path": path, | |
| "scheme": "https", | |
| "accept": "application/json, text/plain, */*", | |
| "accept-encoding": "gzip, deflate, br", | |
| "accept-language": "en-US,en;q=0.9", | |
| "content-length": "88", | |
| "content-type": "application/json", | |
| "origin": link2, | |
| "referer": f"{link2}/", | |
| "sec-ch-ua": '"Google Chrome";v="111", "Not(A:Brand";v="8", "Chromium";v="111"', | |
| "sec-ch-ua-mobile": "?0", | |
| "sec-ch-ua-platform": '"Windows"', | |
| "sec-fetch-dest": "empty", | |
| "sec-fetch-mode": "cors", | |
| "sec-fetch-site": "same-site", | |
| "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36" | |
| } | |
| href = os.environ.get("href") | |
| response = requests.post(href, json={ | |
| "Body": prompt, | |
| "From": f"4b7cec35-d15b-422d-838f-b25583bde426{random.randint(1,100)}" | |
| }, headers=headers) | |
| data = response.json() | |
| data = data["message"] | |
| trigger = os.environ.get("trigger") | |
| if trigger in data: | |
| data = data.replace(trigger, "John") | |
| return data | |
| else: | |
| return data | |
| else: | |
| def download_image(url): | |
| try: | |
| with urllib.request.urlopen(url) as response: | |
| image_data = response.read() | |
| image = Image.open(BytesIO(image_data)) | |
| image_array = np.array(image) | |
| return image_array | |
| except urllib.error.URLError as e: | |
| print('URL Error:', str(e)) | |
| except IOError as e: | |
| print('IO Error:', str(e)) | |
| if Textbox3 == target: | |
| if Dropdown == "Option1": | |
| Textbox2 = Textbox2.replace("[", "").replace("]", "").replace("'", "") | |
| Textbox2 = Textbox2.split(",") | |
| Textbox2_edited = [x.strip() for x in Textbox2] | |
| Textbox2_edited = list(Textbox2_edited) | |
| Textbox2_edited.append(Textbox) | |
| data = { | |
| "messages": [ | |
| {"role": "system", "content": content} | |
| ] | |
| } | |
| for i in Textbox2_edited: | |
| data["messages"].append( | |
| {"role": "user", "content": i} | |
| ) | |
| try: | |
| sleep(0.8) | |
| # chat = openai.ChatCompletion.create( | |
| # model="gpt-3.5-turbo", messages=messages | |
| # ) | |
| response = requests.post(target2, json=data) | |
| reply = response.content.decode("utf-8") | |
| # reply = reply.replace(" ", "%20") | |
| # image_array = download_image(f"https://api.placid.app/u/pydav4ibo?quote[text]={reply}") | |
| data["messages"].append({"role": "assistant", "content": reply}) | |
| return reply | |
| except Exception as e: | |
| print(traceback.format_exc()) | |
| return "Please Wait!" | |
| elif Dropdown == "Option2": | |
| Textbox2 = Textbox2.replace("[", "").replace("]", "").replace("'", "") | |
| Textbox2 = Textbox2.split(",") | |
| Textbox2_edited = [x.strip() for x in Textbox2] | |
| Textbox2_edited = list(Textbox2_edited) | |
| Textbox2_edited.append(Textbox) | |
| data = { | |
| "messages": [ | |
| {"role": "system", "content": content} | |
| ] | |
| } | |
| for i in Textbox2_edited: | |
| data["messages"].append( | |
| {"role": "user", "content": i} | |
| ) | |
| try: | |
| sleep(0.8) | |
| # chat = openai.ChatCompletion.create( | |
| # model="gpt-3.5-turbo", messages=messages | |
| # ) | |
| response = requests.post(target2, json=data) | |
| reply = response.content.decode("utf-8") | |
| # reply = reply.replace(" ", "%20") | |
| # image_array = download_image(f"https://api.placid.app/u/pydav4ibo?quote[text]={reply}") | |
| data["messages"].append({"role": "assistant", "content": reply}) | |
| output = replicate.run( | |
| "suno-ai/bark:b76242b40d67c76ab6742e987628a2a9ac019e11d56ab96c4e91ce03b79b2787", | |
| input={ | |
| "prompt": reply, | |
| "history_prompt": "en_speaker_5" | |
| } | |
| ) | |
| output = output["audio_out"] | |
| audio_data = base64.b64decode(output) | |
| return audio data | |
| # Save the audio to an MP3 file | |
| # mp3_path = "output.mp3" | |
| # with open(mp3_path, "wb") as f: | |
| # f.write(audio_data) | |
| # # Return the path to the MP3 file | |
| # return mp3_path | |
| except Exception as e: | |
| print(traceback.format_exc()) | |
| return "Please Wait!" | |
| else: | |
| return "Failed" | |
| inputs = [ | |
| gr.inputs.Textbox(label="Textbox", type="text"), | |
| gr.inputs.Textbox(label="Textbox2", type="text"), | |
| gr.inputs.Textbox(label="Textbox3", type="password"), | |
| gr.inputs.Dropdown(["Option1", "Option2"], label="Dropdown") | |
| ] | |
| # outputs = gr.outputs.Image(type="numpy") | |
| outputs = gr.outputs.Audio(type="filepath") | |
| iface = gr.Interface(fn=function, inputs=inputs, outputs=outputs) | |
| iface.launch() | |
| # from time import sleep | |
| # import gradio as gr | |
| # import traceback | |
| # import requests | |
| # import openai | |
| # import random | |
| # import base64 | |
| # import os | |
| # def function(Textbox,Textbox2, Textbox3): | |
| # target = os.environ.get("target") | |
| # target2 = os.environ.get("target2") | |
| # content = os.environ.get("content") | |
| # content2 = os.environ.get("content2") | |
| # auth_key = os.environ.get("auth_key") | |
| # link1 = os.environ.get("link1") | |
| # path = os.environ.get("path") | |
| # link2 = os.environ.get("link2") | |
| # if "/web" in Textbox.lower() or "web" in Textbox.lower(): | |
| # try: | |
| # prompt = Textbox.replace("/web","") | |
| # except: | |
| # prompt = Textbox.replace("web","") | |
| # headers = { | |
| # "authority": link1, | |
| # "method": "POST", | |
| # "path": path, | |
| # "scheme": "https", | |
| # "accept": "application/json, text/plain, */*", | |
| # "accept-encoding": "gzip, deflate, br", | |
| # "accept-language": "en-US,en;q=0.9", | |
| # "content-length": "88", | |
| # "content-type": "application/json", | |
| # "origin": link2, | |
| # "referer": f"{link2}/", | |
| # "sec-ch-ua": '"Google Chrome";v="111", "Not(A:Brand";v="8", "Chromium";v="111"', | |
| # "sec-ch-ua-mobile": "?0", | |
| # "sec-ch-ua-platform": '"Windows"', | |
| # "sec-fetch-dest": "empty", | |
| # "sec-fetch-mode": "cors", | |
| # "sec-fetch-site": "same-site", | |
| # "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36" | |
| # } | |
| # href = os.environ.get("href") | |
| # response = requests.post(href,json={ | |
| # "Body":prompt, | |
| # "From":f"4b7cec35-d15b-422d-838f-b25583bde426{random.randint(1,100)}" | |
| # },headers=headers) | |
| # data = response.json() | |
| # data = data["message"] | |
| # trigger = os.environ.get("trigger") | |
| # if trigger in data: | |
| # data = data.replace(trigger,"John") | |
| # return data | |
| # else: | |
| # return data | |
| # else: | |
| # # model = os.environ.get("model") | |
| # # hrc = os.environ.get("hrc") | |
| # if Textbox3 == target: | |
| # Textbox2 = Textbox2.replace("[", "").replace("]", "").replace("'", "") | |
| # Textbox2 = Textbox2.split(",") | |
| # Textbox2_edited = [x.strip() for x in Textbox2] | |
| # Textbox2_edited = list(Textbox2_edited) | |
| # Textbox2_edited.append(Textbox) | |
| # messages = [ | |
| # {"role": "system", "content": content2}, | |
| # ] | |
| # for i in Textbox2_edited: | |
| # messages.append( | |
| # {"role": "user", "content": i} | |
| # ) | |
| # try: | |
| # # sleep(0.8) | |
| # # headers = { | |
| # # "Authorization": f"Bearer {auth_key}" | |
| # # } | |
| # response = requests.post(target2, json={ | |
| # "messages": messages | |
| # }).json() | |
| # # reply = response['choices'][0]['message']['content'] | |
| # reply = response["content"] | |
| # messages.append({"role": "assistant", "content": reply}) | |
| # return reply | |
| # except Exception as e: | |
| # print(traceback.format_exc()) | |
| # return "Please Wait!" | |
| # else: | |
| # return "Failed" | |
| # inputs = [ | |
| # gr.inputs.Textbox(label="Textbox",type="text"), | |
| # gr.inputs.Textbox(label="Textbox2",type="text"), | |
| # gr.inputs.Textbox(label="Textbox3",type="password") | |
| # ] | |
| # iface = gr.Interface(fn=function, inputs=inputs, outputs="text") | |
| # iface.launch() | |
| # from time import sleep | |
| # import gradio as gr | |
| # import traceback | |
| # import requests | |
| # import openai | |
| # import random | |
| # import base64 | |
| # import json | |
| # import os | |
| # def function(Textbox,Textbox2, Textbox3, Textbox4): | |
| # target = os.environ.get("target") | |
| # target2 = os.environ.get("target2") | |
| # content = os.environ.get("content") | |
| # content2 = os.environ.get("content2") | |
| # auth_key = os.environ.get("auth_key") | |
| # link1 = os.environ.get("link1") | |
| # path = os.environ.get("path") | |
| # link2 = os.environ.get("link2") | |
| # if "/web" in Textbox.lower() or "web" in Textbox.lower(): | |
| # try: | |
| # prompt = Textbox.replace("/web","") | |
| # except: | |
| # prompt = Textbox.replace("web","") | |
| # headers = { | |
| # "authority": link1, | |
| # "method": "POST", | |
| # "path": path, | |
| # "scheme": "https", | |
| # "accept": "application/json, text/plain, */*", | |
| # "accept-encoding": "gzip, deflate, br", | |
| # "accept-language": "en-US,en;q=0.9", | |
| # "content-length": "88", | |
| # "content-type": "application/json", | |
| # "origin": link2, | |
| # "referer": f"{link2}/", | |
| # "sec-ch-ua": '"Google Chrome";v="111", "Not(A:Brand";v="8", "Chromium";v="111"', | |
| # "sec-ch-ua-mobile": "?0", | |
| # "sec-ch-ua-platform": '"Windows"', | |
| # "sec-fetch-dest": "empty", | |
| # "sec-fetch-mode": "cors", | |
| # "sec-fetch-site": "same-site", | |
| # "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36" | |
| # } | |
| # href = os.environ.get("href") | |
| # response = requests.post(href,json={ | |
| # "Body":prompt, | |
| # "From":f"4b7cec35-d15b-422d-838f-b25583bde426{random.randint(1,100)}" | |
| # },headers=headers) | |
| # data = response.json() | |
| # data = data["message"] | |
| # trigger = os.environ.get("trigger") | |
| # if trigger in data: | |
| # data = data.replace(trigger,"John") | |
| # return data | |
| # else: | |
| # return data | |
| # else: | |
| # # model = os.environ.get("model") | |
| # # hrc = os.environ.get("hrc") | |
| # if Textbox3 == target: | |
| # try: | |
| # # sleep(0.8) | |
| # # headers = { | |
| # # "Authorization": f"Bearer {auth_key}" | |
| # # } | |
| # response = requests.post(target2, headers={ | |
| # "Content-Type": "application/json" | |
| # }, data=json.dumps({ | |
| # "text": Textbox, | |
| # "key": auth_key, | |
| # "playerId": Textbox4, | |
| # "speak": False | |
| # })) | |
| # # reply = response['choices'][0]['message']['content'] | |
| # response = response.json() | |
| # reply = response["output"]["text"] | |
| # return reply | |
| # except Exception as e: | |
| # print(traceback.format_exc()) | |
| # return "Please Wait!" | |
| # else: | |
| # return "Failed" | |
| # inputs = [ | |
| # gr.inputs.Textbox(label="Textbox",type="text"), | |
| # gr.inputs.Textbox(label="Textbox2",type="text"), | |
| # gr.inputs.Textbox(label="Textbox3",type="password"), | |
| # gr.inputs.Textbox(label="Textbox4",type="text") | |
| # ] | |
| # iface = gr.Interface(fn=function, inputs=inputs, outputs="text") | |
| # iface.launch() | |
| # from time import sleep | |
| # import gradio as gr | |
| # import traceback | |
| # import requests | |
| # import openai | |
| # import random | |
| # import base64 | |
| # import os | |
| # def function(Textbox,Textbox2, Textbox3): | |
| # target = os.environ.get("target") | |
| # target2 = os.environ.get("target2") | |
| # openai.api_key = target2 | |
| # content = os.environ.get("content") | |
| # content2 = os.environ.get("content2") | |
| # link1 = os.environ.get("link1") | |
| # path = os.environ.get("path") | |
| # link2 = os.environ.get("link2") | |
| # if "/web" in Textbox.lower() or "web" in Textbox.lower(): | |
| # try: | |
| # prompt = Textbox.replace("/web","") | |
| # except: | |
| # prompt = Textbox.replace("web","") | |
| # headers = { | |
| # "authority": link1, | |
| # "method": "POST", | |
| # "path": path, | |
| # "scheme": "https", | |
| # "accept": "application/json, text/plain, */*", | |
| # "accept-encoding": "gzip, deflate, br", | |
| # "accept-language": "en-US,en;q=0.9", | |
| # "content-length": "88", | |
| # "content-type": "application/json", | |
| # "origin": link2, | |
| # "referer": f"{link2}/", | |
| # "sec-ch-ua": '"Google Chrome";v="111", "Not(A:Brand";v="8", "Chromium";v="111"', | |
| # "sec-ch-ua-mobile": "?0", | |
| # "sec-ch-ua-platform": '"Windows"', | |
| # "sec-fetch-dest": "empty", | |
| # "sec-fetch-mode": "cors", | |
| # "sec-fetch-site": "same-site", | |
| # "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36" | |
| # } | |
| # href = os.environ.get("href") | |
| # response = requests.post(href,json={ | |
| # "Body":prompt, | |
| # "From":f"4b7cec35-d15b-422d-838f-b25583bde426{random.randint(1,100)}" | |
| # },headers=headers) | |
| # data = response.json() | |
| # data = data["message"] | |
| # trigger = os.environ.get("trigger") | |
| # if trigger in data: | |
| # data = data.replace(trigger,"John") | |
| # return data | |
| # else: | |
| # return data | |
| # else: | |
| # # model = os.environ.get("model") | |
| # # hrc = os.environ.get("hrc") | |
| # if Textbox3 == target: | |
| # Textbox2 = Textbox2.replace("[", "").replace("]", "").replace("'", "") | |
| # Textbox2 = Textbox2.split(",") | |
| # Textbox2_edited = [x.strip() for x in Textbox2] | |
| # Textbox2_edited = list(Textbox2_edited) | |
| # Textbox2_edited.append(Textbox) | |
| # messages = [ | |
| # {"role": "system", "content": content2}, | |
| # ] | |
| # for i in Textbox2_edited: | |
| # messages.append( | |
| # {"role": "user", "content": i} | |
| # ) | |
| # try: | |
| # # sleep(1.8) | |
| # response = requests.post(target2, json={ | |
| # "messages":messages, | |
| # "model":"gpt-3.5-turbo-003", | |
| # "max_tokens":"null", | |
| # "temperature":1, | |
| # "presence_penalty":0, | |
| # "top_p":1, | |
| # "frequency_penalty":0, | |
| # "stream":False | |
| # }).json() | |
| # reply = response['choices'][0]['message']['content'] | |
| # messages.append({"role": "assistant", "content": reply}) | |
| # return reply | |
| # except Exception as e: | |
| # print(traceback.format_exc()) | |
| # return "Please Wait!" | |
| # else: | |
| # return "Failed" | |
| # inputs = [ | |
| # gr.inputs.Textbox(label="Textbox",type="text"), | |
| # gr.inputs.Textbox(label="Textbox2",type="text"), | |
| # gr.inputs.Textbox(label="Textbox3",type="password") | |
| # ] | |
| # iface = gr.Interface(fn=function, inputs=inputs, outputs="text") | |
| # iface.launch() | |