Spaces:
Runtime error
Runtime error
Commit
·
d07c658
1
Parent(s):
c5025fd
made adjustments to the README
Browse files- Pipfile +1 -0
- Pipfile.lock +827 -4
- README.md +14 -3
- bible_demo.py +0 -0
- demo_1.py +19 -0
- img/demo_1.png +0 -0
Pipfile
CHANGED
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@@ -5,6 +5,7 @@ name = "pypi"
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[packages]
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aitextgen = "==0.5.1"
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[dev-packages]
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ipykernel = "*"
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[packages]
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aitextgen = "==0.5.1"
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+
gradio = "*"
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[dev-packages]
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ipykernel = "*"
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Pipfile.lock
CHANGED
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@@ -1,7 +1,7 @@
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{
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"_meta": {
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"hash": {
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-
"sha256": "
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},
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"pipfile-spec": 6,
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"requires": {
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@@ -16,6 +16,14 @@
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]
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},
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"default": {
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"aiohttp": {
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"hashes": [
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"sha256:02f9a2c72fc95d59b881cf38a4b2be9381b9527f9d328771e90f72ac76f31ad8",
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@@ -106,6 +114,7 @@
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"sha256:f973157ffeab5459eefe7b97a804987876dd0a55570b8fa56b4e1954bf11329b",
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"sha256:ff25f48fc8e623d95eca0670b8cc1469a83783c924a602e0fbd47363bb54aaca"
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],
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"version": "==3.8.3"
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},
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"aiosignal": {
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@@ -123,6 +132,22 @@
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"index": "pypi",
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"version": "==0.5.1"
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},
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"async-timeout": {
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"hashes": [
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"sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15",
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@@ -155,6 +180,105 @@
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"markers": "python_full_version >= '3.6.0'",
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"version": "==2.1.1"
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},
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"filelock": {
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"hashes": [
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"sha256:7b319f24340b51f55a2bf7a12ac0755a9b03e718311dac567a0f4f7fabd2f5de",
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@@ -169,6 +293,14 @@
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],
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"version": "==0.5.0"
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},
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"frozenlist": {
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"hashes": [
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"sha256:008a054b75d77c995ea26629ab3a0c0d7281341f2fa7e1e85fa6153ae29ae99c",
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@@ -250,9 +382,7 @@
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"version": "==1.3.3"
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},
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"fsspec": {
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-
"extras": [
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-
"http"
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-
],
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"hashes": [
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"sha256:b833e2e541e9e8cde0ab549414187871243177feb3d344f9d27b25a93f5d8139",
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"sha256:fbae7f20ff801eb5f7d0bedf81f25c787c0dfac5e982d98fa3884a9cde2b5411"
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@@ -260,6 +390,38 @@
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"markers": "python_version >= '3.7'",
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"version": "==2023.1.0"
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},
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"huggingface-hub": {
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"hashes": [
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"sha256:93809eabbfb2058a808bddf8b2a70f645de3f9df73ce87ddf5163d4c74b71c0c",
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@@ -276,6 +438,96 @@
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"markers": "python_version >= '3.5'",
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"version": "==3.4"
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},
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"lightning-utilities": {
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"hashes": [
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"sha256:6f02cfe59e6576487e709a0e66e07671563bde9e21b40e1c567918e4d753278c",
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@@ -284,6 +536,143 @@
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"markers": "python_version >= '3.7'",
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"version": "==0.6.0.post0"
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},
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"multidict": {
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"hashes": [
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"sha256:01a3a55bd90018c9c080fbb0b9f4891db37d148a0a18722b42f94694f8b6d4c9",
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@@ -398,6 +787,56 @@
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"markers": "python_version >= '3.8'",
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"version": "==1.24.1"
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},
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"packaging": {
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"hashes": [
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"sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2",
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@@ -406,6 +845,258 @@
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"markers": "python_version >= '3.7'",
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"version": "==23.0"
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},
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"pytorch-lightning": {
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"hashes": [
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"sha256:5b75fe936d16ef86dae22ea1cb0a73db281605cade682c0ef44e6508a99a0b37",
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@@ -414,6 +1105,13 @@
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"markers": "python_version >= '3.7'",
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"version": "==1.9.0"
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},
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"pyyaml": {
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"hashes": [
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"sha256:01b45c0191e6d66c470b6cf1b9531a771a83c1c4208272ead47a3ae4f2f603bf",
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@@ -562,6 +1260,16 @@
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"markers": "python_version >= '3.7' and python_version < '4'",
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"version": "==2.28.2"
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},
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"six": {
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"hashes": [
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"sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
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@@ -570,6 +1278,22 @@
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"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
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"version": "==1.16.0"
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},
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"termcolor": {
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"hashes": [
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"sha256:91ddd848e7251200eac969846cbae2dacd7d71c2871e92733289e7e3666f48e7",
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| 623 |
],
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"version": "==0.13.2"
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},
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"torch": {
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"hashes": [
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"sha256:0122806b111b949d21fa1a5f9764d1fd2fcc4a47cb7f8ff914204fd4fc752ed5",
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"markers": "python_version >= '3.7'",
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"version": "==4.4.0"
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},
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"urllib3": {
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"hashes": [
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"sha256:076907bf8fd355cde77728471316625a4d2f7e713c125f51953bb5b3eecf4f72",
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@@ -690,6 +1430,89 @@
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| 690 |
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
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"version": "==1.26.14"
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| 692 |
},
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| 693 |
"yarl": {
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"hashes": [
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| 695 |
"sha256:009a028127e0a1755c38b03244c0bea9d5565630db9c4cf9572496e947137a87",
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| 1 |
{
|
| 2 |
"_meta": {
|
| 3 |
"hash": {
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| 4 |
+
"sha256": "7f46e80f4fa6aafb39b7a5a900ffdb14ab072132a9d482767fe45795725aeab5"
|
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},
|
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"pipfile-spec": 6,
|
| 7 |
"requires": {
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| 16 |
]
|
| 17 |
},
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"default": {
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| 19 |
+
"aiofiles": {
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| 20 |
+
"hashes": [
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+
"sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad",
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| 22 |
+
"sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6"
|
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+
],
|
| 24 |
+
"markers": "python_version >= '3.7' and python_version < '4.0'",
|
| 25 |
+
"version": "==22.1.0"
|
| 26 |
+
},
|
| 27 |
"aiohttp": {
|
| 28 |
"hashes": [
|
| 29 |
"sha256:02f9a2c72fc95d59b881cf38a4b2be9381b9527f9d328771e90f72ac76f31ad8",
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| 114 |
"sha256:f973157ffeab5459eefe7b97a804987876dd0a55570b8fa56b4e1954bf11329b",
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| 115 |
"sha256:ff25f48fc8e623d95eca0670b8cc1469a83783c924a602e0fbd47363bb54aaca"
|
| 116 |
],
|
| 117 |
+
"markers": "python_version >= '3.6'",
|
| 118 |
"version": "==3.8.3"
|
| 119 |
},
|
| 120 |
"aiosignal": {
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|
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|
| 132 |
"index": "pypi",
|
| 133 |
"version": "==0.5.1"
|
| 134 |
},
|
| 135 |
+
"altair": {
|
| 136 |
+
"hashes": [
|
| 137 |
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"sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a",
|
| 138 |
+
"sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026"
|
| 139 |
+
],
|
| 140 |
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"markers": "python_version >= '3.7'",
|
| 141 |
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"version": "==4.2.0"
|
| 142 |
+
},
|
| 143 |
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"anyio": {
|
| 144 |
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"hashes": [
|
| 145 |
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"sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421",
|
| 146 |
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"sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"
|
| 147 |
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],
|
| 148 |
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"markers": "python_full_version >= '3.6.2'",
|
| 149 |
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"version": "==3.6.2"
|
| 150 |
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},
|
| 151 |
"async-timeout": {
|
| 152 |
"hashes": [
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| 153 |
"sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15",
|
|
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|
| 180 |
"markers": "python_full_version >= '3.6.0'",
|
| 181 |
"version": "==2.1.1"
|
| 182 |
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|
| 183 |
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"click": {
|
| 184 |
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"hashes": [
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| 185 |
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"sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e",
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| 186 |
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"sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"
|
| 187 |
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| 188 |
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"markers": "python_version >= '3.7'",
|
| 189 |
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"version": "==8.1.3"
|
| 190 |
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|
| 191 |
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"contourpy": {
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| 192 |
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"hashes": [
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| 193 |
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"sha256:031154ed61f7328ad7f97662e48660a150ef84ee1bc8876b6472af88bf5a9b98",
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 200 |
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| 207 |
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"sha256:4ee3ee247f795a69e53cd91d927146fb16c4e803c7ac86c84104940c7d2cabf0",
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
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| 214 |
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| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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| 221 |
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| 223 |
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| 224 |
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| 225 |
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| 226 |
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| 227 |
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| 229 |
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| 230 |
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| 231 |
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| 234 |
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| 235 |
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| 236 |
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| 237 |
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| 239 |
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| 240 |
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| 241 |
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| 243 |
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| 244 |
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| 245 |
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| 246 |
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| 247 |
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|
| 248 |
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|
| 249 |
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"markers": "python_version >= '3.8'",
|
| 250 |
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"version": "==1.0.7"
|
| 251 |
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|
| 252 |
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| 253 |
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|
| 256 |
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|
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"markers": "python_version >= '3.6'",
|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 264 |
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|
| 265 |
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"markers": "python_version >= '3.6'",
|
| 266 |
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"version": "==0.4"
|
| 267 |
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|
| 268 |
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"fastapi": {
|
| 269 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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"version": "==0.89.1"
|
| 275 |
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|
| 276 |
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| 1479 |
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| 1482 |
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| 1509 |
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| 1510 |
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| 1511 |
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"sha256:ff64a1d38d156d429404aaa84b27305e957fd10c30e5880d1765c9480bea490f"
|
| 1512 |
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],
|
| 1513 |
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"markers": "python_version >= '3.7'",
|
| 1514 |
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"version": "==10.4"
|
| 1515 |
+
},
|
| 1516 |
"yarl": {
|
| 1517 |
"hashes": [
|
| 1518 |
"sha256:009a028127e0a1755c38b03244c0bea9d5565630db9c4cf9572496e947137a87",
|
README.md
CHANGED
|
@@ -1,5 +1,14 @@
|
|
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|
|
|
| 1 |
# AI Text Generation
|
| 2 |
-
This repository contains jupyter notebooks
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|
| 3 |
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| 4 |
## GPT Model Generation
|
| 5 |
This is full of experiments that are based of aitextgen Python package.
|
|
@@ -8,7 +17,9 @@ This is full of experiments that are based of aitextgen Python package.
|
|
| 8 |
1. Clone the repository
|
| 9 |
2. Create a virtual environment using pipenv
|
| 10 |
3. Install the dependencies using pipenv
|
| 11 |
-
4. Run the jupyter
|
|
|
|
|
|
|
| 12 |
|
| 13 |
## GPT Model Training
|
| 14 |
-
|
|
|
|
| 1 |
+
|
| 2 |
+
|
| 3 |
# AI Text Generation
|
| 4 |
+
This repository contains jupyter notebooks and python scripts that demo the training of a GPT model and the generation of text using the trained model.
|
| 5 |
+
|
| 6 |
+
## What is GPT?
|
| 7 |
+
GPT is a language model that is trained on a large corpus of text. It is a deep learning model that is trained using a technique called backpropagation. GPT in full is Generative Pre-trained Transformer.
|
| 8 |
+
|
| 9 |
+
GPT has a lot of real-world applications and it can accelerate workflows of different kinds.
|
| 10 |
+
|
| 11 |
+
In summary, imagine an AI model that generates new text based on a given text. This is what GPT does.
|
| 12 |
|
| 13 |
## GPT Model Generation
|
| 14 |
This is full of experiments that are based of aitextgen Python package.
|
|
|
|
| 17 |
1. Clone the repository
|
| 18 |
2. Create a virtual environment using pipenv
|
| 19 |
3. Install the dependencies using pipenv
|
| 20 |
+
4. Run the jupyter notebooks in the `notebooks` folder
|
| 21 |
+
|
| 22 |
+
To run the demos, simply run the python scripts after installing the dependencies.
|
| 23 |
|
| 24 |
## GPT Model Training
|
| 25 |
+
Different notebooks are used for different experiments.
|
bible_demo.py
DELETED
|
File without changes
|
demo_1.py
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
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|
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|
|
|
|
|
| 1 |
+
from aitextgen import aitextgen
|
| 2 |
+
import gradio as gr
|
| 3 |
+
|
| 4 |
+
# download the small model
|
| 5 |
+
ai = aitextgen()
|
| 6 |
+
|
| 7 |
+
# function that generates text from the model
|
| 8 |
+
def generate_text(prompt, max_length=300):
|
| 9 |
+
return ai.generate(prompt=prompt, max_length=max_length, return_as_list=True)[0]
|
| 10 |
+
|
| 11 |
+
# show the generated text in a gradio interface
|
| 12 |
+
demo = gr.Interface(
|
| 13 |
+
fn=generate_text,
|
| 14 |
+
inputs=gr.Textbox(lines=2, label="Insert text or phrase"),
|
| 15 |
+
outputs="text",
|
| 16 |
+
)
|
| 17 |
+
|
| 18 |
+
# launch the interface
|
| 19 |
+
demo.launch()
|
img/demo_1.png
ADDED
|